Internship Program - Minigrid Innovations Lab

ABOUT THE COMPANY Our mission is to unlock the power of capital to make a strong return and lasting difference in frontier markets. JOB SUMMARY Required Technical Skills:Python (Intermediate to Advanced)Strong experience with Pandas (data cleaning, merging, grouping, aggregations)Experience with NumPy (numerical computations and array operations)Experience handling and analyzing large CSV datasetsExperience conducting time-series data analysis (resampling, rolling averages, trend analysis)Strong data cleaning skillsProficiency in Excel (formulas, structured sheets)Basic data visualization skills (Matplotlib / Plotly or similar)Who you areSelf-starter who is passionate about creating lasting change in underserved marketsTakes on new types of work, even without prior experience/direct supervisionPassionate about using data to improve energy access and climate solutionsHighly analytical and detail-orientedComfortable working with messy, real-world datasetsAble to operate independently and manage structured deliverablesAble to communicate technical findings clearly and succinctly RESPONSIBILITIES Clean, structure, and analyze large datasets (e.g., smart meter data, site-level operational data, revenue data exports)Develop Python scripts to automate recurring data cleaning and aggregation workflowsConduct time-series analysis to assess site performance (e.g., consumption growth, uptime, load profiles, revenue trends)Support cross-site performance comparisons and prototype impact assessmentsIdentify anomalies, trends, and patterns in operational dataDevelop visualizations and dashboards to communicate findings clearlySupport the preparation of data-driven insights for donor reports, internal memos, and sector publicationsContribute to strengthening the Lab’s internal data infrastructure and analytical tools REQUIRED SKILLS Data analysis, Data collection, Python, Database query languages (SQL, others) REQUIRED EDUCATION Bachelor's degree